Evidence map›Paper›PMID 42448740›Full record

ArticleCommunications chemistry2026

Application of electron diffraction to rapid structural elucidation of crude reaction products.

Durga Prasad Karothu, Md Ataur Rahman, Bhagavathula S Diwakar, Torsten Cellnik, Brij Bhushan Ahuja, Christian R Göb, Robert Bücker, Sanjit Manohar Majhi, Ejaz Ahmed, Alan R Healy and 1 more

Abstract read
In one paragraph

Article in Communications chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Durga Prasad KarothuSmart Materials Lab, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates. dpk3@nyu.edu.ORCID http://orcid.org/0000-0001-5956-6496
Md Ataur RahmanProgram in Chemistry, Division of Science and Mathematics, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
Bhagavathula S DiwakarSRKR Engineering College, Bhimavaram, India.ORCID http://orcid.org/0000-0003-0669-1239
Torsten CellnikProgram in Chemistry, Division of Science and Mathematics, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
Brij Bhushan AhujaProgram in Chemistry, Division of Science and Mathematics, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
Christian R GöbRigaku Europe SE, Neu-Isenburg, Germany.ORCID http://orcid.org/0000-0002-2354-4153
Robert BückerRigaku Europe SE, Neu-Isenburg, Germany.ORCID http://orcid.org/0000-0001-7654-4707
Sanjit Manohar MajhiSmart Materials Lab, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
Ejaz AhmedSmart Materials Lab, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.ORCID http://orcid.org/0000-0002-3676-2950
Alan R HealyProgram in Chemistry, Division of Science and Mathematics, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates. arh8@nyu.edu.ORCID http://orcid.org/0000-0002-1231-8353
Panče NaumovSmart Materials Lab, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates. pn21@nyu.edu.ORCID http://orcid.org/0000-0003-2416-6569

Funding

New York University Abu Dhabi AD073
6 · The paper itself

Abstract

The explicit confirmation of the identity of desired or side products of a chemical reaction often requires lengthy or iterative purification protocols, combined with multiple analytical procedures that could be restricted by the available sample quantity and purity, or might provide only qualitative information on the chemical composition. Product mixtures with overlapping spectroscopic signals, low solubility, reactivity in solution, poor crystallinity, and multiple sample preparation steps could pose further challenges and currently stand in the way of full automation of product characterization. Being capable of rapidly providing structural details down to atomic scale resolution from nanosized crystalline samples, three-dimensional electron diffraction (3D ED) (microcrystal electron diffraction) effectively overcomes several of these obstacles. Here, we demonstrate the potential for the application of 3D ED in the efficient and rapid characterization of reaction products that are difficult to characterize. Furthermore, the technology utilized in this paper comes with the benefits of reducing the carbon footprint of a synthesis procedure, eliminating redundant steps needed for common characterization methods, and providing a shortcut for characterization without increased costs. We suggest that, based on the speed and minimal sample requirements demonstrated here, coupling 3D ED/MicroED with automated synthetic workflows could help accelerate future drug discovery efforts.

Identifiers

PMID42448740
PMCPMC13376368

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.